Mathusan Gunabalasingam
Impact in
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis
Papers in
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- Microbial Natural Products and Biosynthesis 3
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- Crystallography and molecular interactions 1
- Co-authors
- Nathan A. Magarvey (4 shared papers)Michael A. Skinnider (2 shared papers)Nishanth J. Merwin (2 shared papers)Haoxin Li (2 shared papers)Chad W. Johnston (2 shared papers)Chris A. Dejong (2 shared papers)Norman R. Spencer (3 shared papers)My P. T. Cao (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Faraday Discussions (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- CanadaUnited StatesNorway
In The Last Decade
Mathusan Gunabalasingam
5 papers receiving 428 citations
Mathusan Gunabalasingam's Hit Papers
Peers
Comparison fields: 5 of 47
- Pharmacology 299
- Biotechnology 18
- Microbiology 2
- Molecular Medicine 13
- Microbiology 11
Countries citing papers authored by Mathusan Gunabalasingam
This map shows the geographic impact of Mathusan Gunabalasingam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mathusan Gunabalasingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathusan Gunabalasingam more than expected).
Fields of papers citing papers by Mathusan Gunabalasingam
This network shows the impact of papers produced by Mathusan Gunabalasingam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mathusan Gunabalasingam. The network helps show where Mathusan Gunabalasingam may publish in the future.
Co-authors
The 16 scholars most cited alongside Mathusan Gunabalasingam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequences Hit paper breakdown → | 2020 | 289 |
| 2 | 2019 | 131 | |
| 3 | 2017 | 16 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 1 |
About Mathusan Gunabalasingam
Mathusan Gunabalasingam is a scholar working on Pharmacology, Physical and Theoretical Chemistry, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 440 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (1 paper) and Crystallography and molecular interactions (1 paper). The work is most often cited by research in Pharmacology (299 citations), Biotechnology (18 citations), Microbiology (2 citations), Molecular Medicine (13 citations) and Microbiology (11 citations). Mathusan Gunabalasingam has collaborated with scholars based in Canada, United States and Norway. Frequent co-authors include Nathan A. Magarvey, Michael A. Skinnider, Nishanth J. Merwin, Haoxin Li, Chad W. Johnston, Chris A. Dejong, Norman R. Spencer, My P. T. Cao, Agata Kieliszek and Annabelle Pfeifle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Faraday Discussions and Zenodo (CERN European Organization for Nuclear Research).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.